Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study

被引:10
|
作者
Katirai, Amelia [1 ]
Yamamoto, Beverley Anne [2 ]
Kogetsu, Atsushi [3 ]
Kato, Kazuto [3 ]
机构
[1] Osaka Univ, Res Ctr Ethical Legal & Social Issues, Suita, Japan
[2] Osaka Univ, Grad Sch Human Sci & Headquarters, Suita, Japan
[3] Osaka Univ, Grad Sch Med, Dept Biomed Eth & Publ Policy, Suita, Japan
来源
FRONTIERS IN DIGITAL HEALTH | 2023年 / 5卷
基金
日本科学技术振兴机构;
关键词
artificial intelligence; healthcare; patient and public involvement; Patient and Public Involvement Panel; community participation; ATTITUDES;
D O I
10.3389/fdgth.2023.1229308
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Patients and members of the public are the end users of healthcare, but little is known about their views on the use of artificial intelligence (AI) in healthcare, particularly in the Japanese context. This paper reports on an exploratory two-part workshop conducted with members of a Patient and Public Involvement Panel in Japan, which was designed to identify their expectations and concerns about the use of AI in healthcare broadly. 55 expectations and 52 concerns were elicited from workshop participants, who were then asked to cluster and title these expectations and concerns. Thematic content analysis was used to identify 12 major themes from this data. Participants had notable expectations around improved hospital administration, improved quality of care and patient experience, and positive changes in roles and relationships, and reductions in costs and disparities. These were counterbalanced by concerns about problematic changes to healthcare and a potential loss of autonomy, as well as risks around accountability and data management, and the possible emergence of new disparities. The findings reflect participants' expectations for AI as a possible solution for long-standing issues in healthcare, though their overall balanced view of AI mirrors findings reported in other contexts. Thus, this paper offers initial, novel insights into perspectives on AI in healthcare from the Japanese context. Moreover, the findings are used to argue for the importance of involving patient and public stakeholders in deliberation on AI in healthcare.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms
    Sun, Tara Qian
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (23)
  • [22] Patient Perspectives on the Use of Artificial Intelligence in Health Care: A Scoping Review
    Moy, Sally
    Irannejad, Mona
    Manning, Stephanie Jeanneret
    Farahani, Mehrdad
    Ahmed, Yomna
    Gao, Ellis
    Prabhune, Radhika
    Lorenz, Suzan
    Mirza, Raza
    Klinger, Christopher
    JOURNAL OF PATIENT-CENTERED RESEARCH AND REVIEWS, 2024, 11 (01)
  • [23] A Hierarchy of Power: The Place of Patient and Public Involvement in Healthcare Service Development
    O'Shea, Alison
    Boaz, Annette L.
    Chambers, Mary
    FRONTIERS IN SOCIOLOGY, 2019, 4
  • [24] Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide
    Bernal, Jose
    Mazo, Claudia
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [25] Effective Adoption of Artificial Intelligence in Healthcare: A Multiple Case Study
    Roppelt, Julia S.
    Jenkins, Anna
    Kanbach, Dominik K.
    Kraus, Sascha
    Jones, Paul
    JOURNAL OF DECISION SYSTEMS, 2025, 34 (01)
  • [26] Using artificial intelligence to enhance patient autonomy in healthcare decision-making
    Quinones, Jose Luis Guerrero
    AI & SOCIETY, 2024, : 1917 - 1926
  • [27] Healthcare in Vietnam: Harnessing Artificial Intelligence and Robotics to Improve Patient Care Outcomes
    Thu, Tu N. Doan
    Nguyen, Quan K.
    Taylor-Robinson, Andrew W.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (09)
  • [28] Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia
    Frost, Emma K.
    Aquino, Yves Saint James
    Braunack-Mayer, Annette
    Carter, Stacy M.
    HEALTH EXPECTATIONS, 2025, 28 (02)
  • [29] Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden
    Lena Petersson
    Ingrid Larsson
    Jens M. Nygren
    Per Nilsen
    Margit Neher
    Julie E. Reed
    Daniel Tyskbo
    Petra Svedberg
    BMC Health Services Research, 22
  • [30] Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden
    Petersson, Lena
    Larsson, Ingrid
    Nygren, Jens M.
    Nilsen, Per
    Neher, Margit
    Reed, Julie E.
    Tyskbo, Daniel
    Svedberg, Petra
    BMC HEALTH SERVICES RESEARCH, 2022, 22 (01)